Systems Biomedicine Approaches in Cancer Research (eBook)
XI, 163 Seiten
Springer Nature Singapore (Verlag)
978-981-19-1953-4 (ISBN)
This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.
Dr. Shailza Singh is serving as Scientist E and in charge of the bioinformatics and high performance computing facility. Her lab focuses on systems and synthetic biology of infectious disease and cancer model systems, wherein she is trying to integrate the action of regulatory circuits, cross talk between pathways, and non-linear kinetics of biochemical processes through mathematical modeling. She is the recipient of several awards such as RGYI, DST-Young Scientist, INSA Bilateral Exchange, and SAKURA Exchange Programme. Dr. Singh is also serving as a reviewer and academic editor of various international journals of repute.
This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.
| Erscheint lt. Verlag | 10.8.2022 |
|---|---|
| Zusatzinfo | XI, 163 p. 1 illus. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Biomedizin | |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie | |
| Naturwissenschaften ► Biologie ► Biochemie | |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| Technik ► Umwelttechnik / Biotechnologie | |
| Schlagworte | Bioinformatics • Biological Networks • Cancer Biology • machine learning • Synthetic biology • System biology |
| ISBN-10 | 981-19-1953-4 / 9811919534 |
| ISBN-13 | 978-981-19-1953-4 / 9789811919534 |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 4,1 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
